package com.atguigu.gmall.realtime.app.dwm;

import com.alibaba.fastjson.JSON;
import com.alibaba.fastjson.JSONObject;
import com.atguigu.gmall.realtime.app.BaseAppV2;
import com.atguigu.gmall.realtime.bean.OrderDetail;
import com.atguigu.gmall.realtime.bean.OrderInfo;
import com.atguigu.gmall.realtime.bean.OrderWide;
import com.atguigu.gmall.realtime.util.DimUtil;
import com.atguigu.gmall.realtime.util.JdbcUtil;
import org.apache.flink.api.common.eventtime.WatermarkStrategy;
import org.apache.flink.api.common.functions.RichMapFunction;
import org.apache.flink.configuration.Configuration;
import org.apache.flink.streaming.api.datastream.DataStreamSource;
import org.apache.flink.streaming.api.datastream.KeyedStream;
import org.apache.flink.streaming.api.datastream.SingleOutputStreamOperator;
import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
import org.apache.flink.streaming.api.functions.co.ProcessJoinFunction;
import org.apache.flink.streaming.api.windowing.time.Time;
import org.apache.flink.util.Collector;

import java.sql.Connection;
import java.time.Duration;
import java.util.Map;

import static com.atguigu.gmall.realtime.common.Constant.*;

/**
 * @Author lzc
 * @Date 2022/4/18 14:02
 */
public class DwmOrderWideApp extends BaseAppV2 {
    public static void main(String[] args) {
        new DwmOrderWideApp().init("DwmOrderWideApp",
                                   3003,
                                   1,
                                   "DwmOrderWideApp",
                                   "DwmOrderWideApp",
                                   TOPIC_DWD_ORDER_INFO, TOPIC_DWD_ORDER_DETAIL
        );
        
        
    }
    
    @Override
    public void handle(StreamExecutionEnvironment env,
                       Map<String, DataStreamSource<String>> topicToStreamMap) {
        
        // 1. 事实表join
        SingleOutputStreamOperator<OrderWide> orderWideStreamWithoutDims = factsJoin(topicToStreamMap);
        // 2. 事实表与维度表"join"
        factJoinDim(orderWideStreamWithoutDims);
        
        // 3. 把宽表数据写入到Kafka中
    }
    
    private void factJoinDim(SingleOutputStreamOperator<OrderWide> orderWideStreamWithoutDims) {
    /*
    user_info
    base_province
    sku_info spu_info base_trademark base_category3
     */
        orderWideStreamWithoutDims
            .map(new RichMapFunction<OrderWide, OrderWide>() {
                
                private Connection phoenixConn;
                
                @Override
                public void open(Configuration parameters) throws Exception {
                    phoenixConn = JdbcUtil.getJdbcConnection(PHOENIX_DRIVER, PHOENIX_URL, null, null);
                }
                
                @Override
                public OrderWide map(OrderWide orderWide) throws Exception {
                    //1. 补齐user_info
                    JSONObject userInfo = DimUtil.readDimFromPhoenix(phoenixConn, "dim_user_info", orderWide.getUser_id());
                    orderWide.setUser_gender(userInfo.getString("GENDER"));  // 获取性别
                    orderWide.calculateUserAge(userInfo.getString("BIRTHDAY"));
                    
                    // 2. base_province
                    JSONObject baseProvince = DimUtil.readDimFromPhoenix(phoenixConn, "dim_base_province", orderWide.getProvince_id());
                    orderWide.setProvince_name(baseProvince.getString("NAME"));
                    orderWide.setProvince_iso_code(baseProvince.getString("ISO_CODE"));
                    orderWide.setProvince_area_code(baseProvince.getString("AREA_CODE"));
                    orderWide.setProvince_3166_2_code(baseProvince.getString("ISO_3166_2"));
                    
                    // 3. sku
                    JSONObject skuInfo = DimUtil.readDimFromPhoenix(phoenixConn, "dim_sku_info", orderWide.getSku_id());
                    orderWide.setSku_name(skuInfo.getString("SKU_NAME"));
                    orderWide.setOrder_price(skuInfo.getBigDecimal("PRICE"));
                    
                    orderWide.setSpu_id(skuInfo.getLong("SPU_ID"));
                    orderWide.setCategory3_id(skuInfo.getLong("CATEGORY3_ID"));
                    orderWide.setTm_id(skuInfo.getLong("TM_ID"));
                    
                    // 4. spu
                    JSONObject spuInfo = DimUtil.readDimFromPhoenix(phoenixConn, "dim_spu_info", orderWide.getSpu_id());
                    orderWide.setSpu_name(spuInfo.getString("SPU_NAME"));
                    
                    JSONObject c3 = DimUtil.readDimFromPhoenix(phoenixConn, "dim_base_category3", orderWide.getCategory3_id());
                    orderWide.setCategory3_name(c3.getString("NAME"));
                    
                    JSONObject tm = DimUtil.readDimFromPhoenix(phoenixConn, "dim_base_trademark", orderWide.getTm_id());
                    orderWide.setTm_name(tm.getString("TM_NAME"));
                    
                    
                    return orderWide;
                }
            })
            .print();
        
    }
    
    private SingleOutputStreamOperator<OrderWide> factsJoin(Map<String, DataStreamSource<String>> topicToStreamMap) {
        KeyedStream<OrderInfo, Long> orderInfoStream = topicToStreamMap
            .get(TOPIC_DWD_ORDER_INFO)
            .map(info -> JSON.parseObject(info, OrderInfo.class))
            .assignTimestampsAndWatermarks(
                WatermarkStrategy
                    .<OrderInfo>forBoundedOutOfOrderness(Duration.ofSeconds(3))
                    .withTimestampAssigner((info, ts) -> info.getCreate_ts())
            )
            .keyBy(OrderInfo::getId);
        
        
        KeyedStream<OrderDetail, Long> orderDetailStream = topicToStreamMap
            .get(TOPIC_DWD_ORDER_DETAIL)
            .map(info -> JSON.parseObject(info, OrderDetail.class))
            .assignTimestampsAndWatermarks(
                WatermarkStrategy
                    .<OrderDetail>forBoundedOutOfOrderness(Duration.ofSeconds(3))
                    .withTimestampAssigner((detail, ts) -> detail.getCreate_ts())
            )
            .keyBy(OrderDetail::getOrder_id);
        
        
        return orderInfoStream
            .intervalJoin(orderDetailStream)
            .between(Time.seconds(-5), Time.seconds(5))
            .process(new ProcessJoinFunction<OrderInfo, OrderDetail, OrderWide>() {
                @Override
                public void processElement(OrderInfo left,
                                           OrderDetail right,
                                           Context ctx,
                                           Collector<OrderWide> out) throws Exception {
                    out.collect(new OrderWide(left, right));
                }
            });
    }
}
/*

事实表
    order_info  order_detail
    
    join
    
    事实表将来是流的方式
    事实表与事实表的join: 流与流 的join
    
   window  join
   interval join
维度表
    
    事实表与维度表的join
    
    stream<宽表 缺维度, 有需要的维度id>
    
    来一条数据, 根据各种id]去查找维度表, 补齐对应的维度信息
        去phoenix中反查


1. 消费多个topic

2. 事实表与事实表的join

3,. 事实表与维度表join

4. 把宽表数据写入到Kafka中



*/